Dong‐Gi Mun

1.1k total citations
35 papers, 443 citations indexed

About

Dong‐Gi Mun is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Dong‐Gi Mun has authored 35 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Spectroscopy and 6 papers in Oncology. Recurrent topics in Dong‐Gi Mun's work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Dong‐Gi Mun is often cited by papers focused on Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (16 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Dong‐Gi Mun collaborates with scholars based in United States, India and South Korea. Dong‐Gi Mun's co-authors include Sang‐Won Lee, Akhilesh Pandey, Hokeun Kim, Mayank Saraswat, Anil K. Madugundu, Hangyeore Lee, Jingi Bae, Patrick M. Vanderboom, Su‐Jin Kim and Sandip Chavan and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Chemistry and Scientific Reports.

In The Last Decade

Dong‐Gi Mun

32 papers receiving 439 citations

Peers

Dong‐Gi Mun

SPECT

PHYSI

Annie Ha Canada

Pey Yee Lee Malaysia

Stefan Loroch Germany

Inga Kireeva Canada

Guadalupe Espadas Spain

Xue Cai China

Hugo Gagnon Canada

Benjamin D. Stein United States

Shinyeong Ju South Korea

H Liu China

Annie Ha Canada

Dong‐Gi Mun

352 ×1.4

251 ×1.4

SPECT

13 ×0.2

31 ×0.6

PHYSI

29 ×0.5

Citations per year, relative to Dong‐Gi Mun Dong‐Gi Mun (= 1×) peers Annie Ha

Countries citing papers authored by Dong‐Gi Mun

Since Specialization

Citations

This map shows the geographic impact of Dong‐Gi Mun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dong‐Gi Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Gi Mun more than expected).

Fields of papers citing papers by Dong‐Gi Mun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Gi Mun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dong‐Gi Mun. The network helps show where Dong‐Gi Mun may publish in the future.

Co-authorship network of co-authors of Dong‐Gi Mun

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Gi Mun. A scholar is included among the top collaborators of Dong‐Gi Mun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong‐Gi Mun. Dong‐Gi Mun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Varela, Ana Rita, Dong‐Gi Mun, Isabelle M.A. Lombaert, et al.. (2025). Establishment of salivary tissue-organoid biorepository: characterizing salivary gland stem/progenitor cells and novel differentiation marker PSMA/FOLH1. npj Regenerative Medicine. 10(1). 23–23. 1 indexed citations

Kim, Jin Yong, Dong‐Gi Mun, Husheng Ding, et al.. (2025). Single Cell Untargeted Lipidomics Using Liquid Chromatography Ion Mobility-Mass Spectrometry. Journal of Proteome Research. 24(4). 1579–1585. 2 indexed citations

Bhat, Firdous Ahmad, Husheng Ding, Dong‐Gi Mun, et al.. (2025). Targeted Quantitation of Phosphotyrosine‐Containing Proteins in T‐Cell Receptor Signaling Using a SureQuant‐Based Mass Spectrometry Approach. PROTEOMICS. 25(16). 40–47.

Mun, Dong‐Gi, J. A. TOMLINSON, Amro M. Abdelrahman, et al.. (2024). Integrated multiomics evaluation identifies novel molecular cholangiocarcinoma subtypes. HPB. 26. S606–S606.

Bhat, Firdous Ahmad, Kiran K. Mangalaparthi, Husheng Ding, et al.. (2024). Exploration of Nitrotyrosine-Containing Proteins and Peptides by Antibody-Based Enrichment Strategies. Molecular & Cellular Proteomics. 23(3). 100733–100733. 2 indexed citations

Xie, Xiaofeng, Thy Truong, Siqi Huang, et al.. (2024). Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive Single-Cell Proteome Profiling. Analytical Chemistry. 96(26). 10534–10542. 8 indexed citations

Byeon, Seul Kee, Amro M. Abdelrahman, Dong‐Gi Mun, et al.. (2024). Metabolome-wide association identifies altered metabolites and metabolic pathways in the serum of patients with cholangiocarcinoma. JHEP Reports. 6(6). 101068–101068. 4 indexed citations

Madden, Benjamin J., et al.. (2024). Defining albumin as a glycoprotein with multiple N-linked glycosylation sites. Journal of Translational Medicine. 22(1). 454–454. 3 indexed citations

Mun, Dong‐Gi, Firdous Ahmad Bhat, Husheng Ding, et al.. (2024). Diversity of post-translational modifications and cell signaling revealed by single cell and single organelle mass spectrometry. Communications Biology. 7(1). 884–884. 8 indexed citations

10.

Ding, Husheng, M. Cristine Charlesworth, Yohan Kim, et al.. (2023). sBioSITe enables sensitive identification of the cell surface proteome through direct enrichment of biotinylated peptides. Clinical Proteomics. 20(1). 56–56. 4 indexed citations

11.

Renuse, Santosh, Vijay Sagar Madamsetty, Dong‐Gi Mun, et al.. (2021). Tyrosine Phosphoproteomics of Patient-Derived Xenografts Reveals Ephrin Type-B Receptor 4 Tyrosine Kinase as a Therapeutic Target in Pancreatic Cancer. Cancers. 13(14). 3404–3404. 4 indexed citations

12.

Vanderboom, Patrick M., Dong‐Gi Mun, Anil K. Madugundu, et al.. (2021). Proteomic Signature of Host Response to SARS-CoV-2 Infection in the Nasopharynx. Molecular & Cellular Proteomics. 20. 100134–100134. 21 indexed citations

13.

Wu, Xinyan, Li Wang, Nicole A Pearson, et al.. (2021). Quantitative Tyrosine Phosphoproteome Profiling of AXL Receptor Tyrosine Kinase Signaling Network. Cancers. 13(16). 4234–4234. 6 indexed citations

14.

Saraswat, Mayank, et al.. (2021). Extensive heterogeneity of glycopeptides in plasma revealed by deep glycoproteomic analysis using size-exclusion chromatography. Molecular Omics. 17(6). 939–947. 18 indexed citations

15.

Renuse, Santosh, Patrick M. Vanderboom, Anil K. Madugundu, et al.. (2021). A mass spectrometry-based targeted assay for detection of SARS-CoV-2 antigen from clinical specimens. EBioMedicine. 69. 103465–103465. 43 indexed citations

16.

Mun, Dong‐Gi, Patrick M. Vanderboom, Anil K. Madugundu, et al.. (2021). DIA-Based Proteome Profiling of Nasopharyngeal Swabs from COVID-19 Patients. Journal of Proteome Research. 20(8). 4165–4175. 23 indexed citations

17.

Mun, Dong‐Gi, Santosh Renuse, Mayank Saraswat, et al.. (2020). PASS-DIA: A Data-Independent Acquisition Approach for Discovery Studies. Analytical Chemistry. 92(21). 14466–14475. 19 indexed citations

18.

Park, Jong‐Moon, Ji-Hwan Park, Dong‐Gi Mun, et al.. (2015). Integrated analysis of global proteome, phosphoproteome and glycoproteome enables complementary interpretation of disease-related protein networks. Scientific Reports. 5(1). 18189–18189. 28 indexed citations

19.

Mun, Dong‐Gi, Hyun Lee, Jungwoo Lee, et al.. (2012). PTRF/Cavin-1 is Essential for Multidrug Resistance in Cancer Cells. Journal of Proteome Research. 12(2). 605–614. 44 indexed citations

20.

Hyung, Seok‐Won, Min‐Sik Kim, Dong‐Gi Mun, Hookeun Lee, & Sang‐Won Lee. (2011). The effect and potential of using a temperature controlled separation column with ultra-high pressure microcapillary liquid chromatography/tandem mass spectrometry on proteomic analysis. The Analyst. 136(10). 2100–2100. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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